L2 Application Support Engineer

5 years

0 Lacs

Posted:21 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

  • Perform 24×7 monitoring of Databricks clusters, jobs, workflows, repos, and data pipelines.
  • Alert Monitoring and first level of resolution thereof
  • First Level issue troubleshooting/analysis related to ✓ Cluster failures or auto-scaling issues ✓ Job failures
(PySpark/Scala/Spark SQL/Delta Live Tables) ✓ Workspace availability issues
  • Debug Databricks notebook failures and job errors (Spark, SQL, Delta Lake)
  • Rerun/retrigger failed jobs as per SOP.
  • Monitor data ingestion pipelines (Streaming & Batch).
  • Perform daily health checks
  • Prepare incident summary reports, and daily operational dashboards.
  • Escalate high severity incidents to L3/Platform Engineering as per SLA.
  • Handle workspace/user access requests as per RBAC policies
  • Identify recurring issues and report to L3/Platform Engineering
  • First level -Analyze driver/executor logs

Skills

  • 2–5+ years of experience in Big Data / Cloud Data Platform Support.
  • Hands-on knowledge of Databricks platform (clusters, jobs, repos, MLflow, warehouse)
  • Hands on experience in UNIX, SQL, Shell Scripting.
  • Hands on experience in Spark UI & job debugging
  • Understanding of CI/CD pipelines (Azure DevOps)
  • Understanding of Apache Spark , Azure Cloud
Skills: sql,shell scripting,unix,spark ui,big data

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